@prefix prodottidellaricerca: . @prefix istituto: . @prefix prodotto: . istituto:CDS070 prodottidellaricerca:prodotto prodotto:ID270319 . @prefix pubblicazioni: . @prefix unitaDiPersonaleInterno: . unitaDiPersonaleInterno:MATRICOLA10682 pubblicazioni:autoreCNRDi prodotto:ID270319 . @prefix rdf: . prodotto:ID270319 rdf:type prodotto:TIPO1101 . @prefix retescientifica: . prodotto:ID270319 rdf:type retescientifica:ProdottoDellaRicerca . @prefix rdfs: . prodotto:ID270319 rdfs:label "Symmetry and Symmetry-Breaking of the Emergent Dynamics of the Discrete Stochastic Majority-Voter Model (Articolo in rivista)"@en . @prefix xsd: . prodotto:ID270319 pubblicazioni:anno "2012-01-01T00:00:00+01:00"^^xsd:gYear . @prefix skos: . prodotto:ID270319 skos:altLabel "
K. G. Spiliotis*, L. Russo** and C. I. Siettos* (2012)
Symmetry and Symmetry-Breaking of the Emergent Dynamics of the Discrete Stochastic Majority-Voter Model
in Annual Review of Chaos Theory, Bifurcations and Dynamical Systems
"^^rdf:HTML ; pubblicazioni:autori "K. G. Spiliotis*, L. Russo** and C. I. Siettos*"^^xsd:string ; pubblicazioni:paginaInizio "1"^^xsd:string ; pubblicazioni:paginaFine "20"^^xsd:string ; pubblicazioni:url "http://www.arctbds.com/Volume2/1-Symmetry%20and%20Symmetry-Breaking.pdf"^^xsd:string ; pubblicazioni:numeroVolume "2"^^xsd:string . @prefix ns10: . prodotto:ID270319 pubblicazioni:rivista ns10:ID659292 ; pubblicazioni:pagineTotali "20"^^xsd:string ; skos:note "Scirus"^^xsd:string , "Google Scholar"^^xsd:string , "Citeulike"^^xsd:string ; pubblicazioni:affiliazioni "*School of Applied Mathematics and Physical Sciences, National Technical University of Athens\n**Istituto di ricerche sulla combustione, CNR"^^xsd:string ; pubblicazioni:titolo "Symmetry and Symmetry-Breaking of the Emergent Dynamics of the Discrete Stochastic Majority-Voter Model"^^xsd:string ; prodottidellaricerca:abstract "We analyse the emergent dynamics of the so called majority voter model evolving\non complex networks. In particular we study the influence of three characteristic\ntypes of networks, namely Random Regular, Erd\u00A8os-R\u00B4enyi (ER), Watts and Strogatz\n(WS, small-world) and Barabasi (scale- free) on the bifurcating stationary coarsegrained\nsolutions. We first prove analytically some simple properties about the\nsymmetry and symmetry breaking of the macroscopic dynamics with respect to the\nnetwork topology. We also show how one can exploit the Equation-free framework to\nbridge in a computational strict manner the micro to macro scales of the dynamics of\nstochastic individualistic models on complex random graphs. In particular, we show\nhow systems-level tasks such as bifurcation analysis of the coarse-grained dynamics\ncan be performed bypassing the need to extract macroscopic models in a closed\nform. A comparison with the mean-field approximations is also given illustrating the\nmerits of the Equation-Free approach, especially in the case of scale-free networks\nexhibiting a heavy-tailed connectivity distribution."@en ; prodottidellaricerca:prodottoDi istituto:CDS070 ; pubblicazioni:autoreCNR unitaDiPersonaleInterno:MATRICOLA10682 . ns10:ID659292 pubblicazioni:rivistaDi prodotto:ID270319 .